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All Journal Jurnal Ilmiah Informatika Komputer Techno.Com: Jurnal Teknologi Informasi Jurnal Penelitian Pendidikan Jurnal Sistem dan Informatika Scientific Journal of Informatics CESS (Journal of Computer Engineering, System and Science) ILKOM Jurnal Ilmiah Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Simpatik: Jurnal sistem Informasi dan Informatika JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Unnes Journal of Mathematics Konstelasi: Konvergensi Teknologi dan Sistem Informasi Malcom: Indonesian Journal of Machine Learning and Computer Science JUSIFOR : Jurnal Sistem Informasi dan Informatika Jurnal ilmiah teknologi informasi Asia
Florentina Yuni Arini, Florentina Yuni
Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Negeri Semarang
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Public Health

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Journal : Scientific Journal of Informatics

 1 
Expert System Diagnosis Dental Disease Using Certainty Factor Method Setiabudi, Whisnu Ulinnuha; Sugiharti, Endang; Arini, Florentina Yuni
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8463

Abstract

Technological development is growing rapidly among with the increasing of human needs especially in mobile technology where the technology that often be used is android. The existence of this android facilitates the user in access of information. This android can be used for healthy needs, for example is detecting dental disease. One of the branches of computer science that can help society in detecting dental disease is expert system. In this research, making expert system to diagnosis dental disease by using certainty factor method. Dental disease diagnosis application can diagnose the patient based on griping of the patient about dental disease so it can be obtained diseases possibility of the patient itself. This application is an expert system application that operates on android platform. Furthermore, in the measurement accuracy of the system test performed by 20 patients, there were 19 cases of corresponding and 1 cases that do not fit. So, from system testing performed by 20 patients resulted in a 95% accuracy rate. 
Pengembangan E-Stats Berbasis Web (Studi Kasus Universitas Negeri Semarang) Arini, Florentina Yuni
Scientific Journal of Informatics Vol 1, No 1 (2014): May 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i1.3646

Abstract

Saat ini, pengembangan e-learning berbasis web menjadi tren dalam dunia pendidikan. Oleh karena itu, dalam penelitian ini penulis mengembangkan E-Stats berbasis web bidang ilmu statistik yang secara khusus dikembangkan di Universitas Negeri Semarang (UNNES). E-Stats menyediakan layanan akses artikel, jurnal dan materi tentang statistik. Artikel dan abstrak jurnal statistik dapat diakses oleh umum. Sedangkan jika menjadi member memiliki prevelege untuk mendownload jurnal dan materi yang sudah di-upload. Bagi member dapat mendaftar melalui form registrasi yang disediakan di halaman registrasi web. Desain E-Stats melalui tahap prototype (analisis, perancangan, desain sistem, ERD dan desain skema database), pemrograman, pengujian dan pemeliharaan. Melalui E-Stats, pembelajaran statistika dapat diakses online tanpa batas ruang dan waktu. 
Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara Setyawan, Agus; Arini, Florentina Yuni; Akhlis, Isa
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8458

Abstract

Issue handling of inadvertence situations in the decision-making process of recruiting new employees at PT. Warta Media Nusantara that use criteria value of interviews, field test, a psychological test and medical check-up requires Multi Attribute Decision Making (MADM) as an auxiliary method of decision-making on the prospective eligible employee to be accepted in the company. There are various MADM methods, such as Simple Additive Weighting (SAW) method and Weighted Product (WP) method. Both of these methods are known as the most common method used in handling MADM issues, so in this study both methods are applied to the DSS and analyzed the differences in terms of obtained results and the execution time required for each method. The results of the study of the application of SAW and WP methods in the recruitment of new employees DSS there are some differences in the results of the candidates rank order and the differences in execution time of each method. The differences in rank order of these methods are due to the effects of alternative values, weighting criteria, and the calculation method. WP method is able to provide more rigorous result than SAW method, while the difference in execution time of SAW and WP methods explains that the execution time of SAW method relatively quick because SAW calculation method has a simpler process than the process of WP calculation methods 
Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara Setyawan, Agus; Arini, Florentina Yuni; Akhlis, Isa
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8458

Abstract

Issue handling of inadvertence situations in the decision-making process of recruiting new employees at PT. Warta Media Nusantara that use criteria value of interviews, field test, a psychological test and medical check-up requires Multi Attribute Decision Making (MADM) as an auxiliary method of decision-making on the prospective eligible employee to be accepted in the company. There are various MADM methods, such as Simple Additive Weighting (SAW) method and Weighted Product (WP) method. Both of these methods are known as the most common method used in handling MADM issues, so in this study both methods are applied to the DSS and analyzed the differences in terms of obtained results and the execution time required for each method. The results of the study of the application of SAW and WP methods in the recruitment of new employees DSS there are some differences in the results of the candidates rank order and the differences in execution time of each method. The differences in rank order of these methods are due to the effects of alternative values, weighting criteria, and the calculation method. WP method is able to provide more rigorous result than SAW method, while the difference in execution time of SAW and WP methods explains that the execution time of SAW method relatively quick because SAW calculation method has a simpler process than the process of WP calculation methods
Expert System Diagnosis Dental Disease Using Certainty Factor Method Setiabudi, Whisnu Ulinnuha; Sugiharti, Endang; Arini, Florentina Yuni
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8463

Abstract

Technological development is growing rapidly among with the increasing of human needs especially in mobile technology where the technology that often be used is android. The existence of this android facilitates the user in access of information. This android can be used for healthy needs, for example is detecting dental disease. One of the branches of computer science that can help society in detecting dental disease is expert system. In this research, making expert system to diagnosis dental disease by using certainty factor method. Dental disease diagnosis application can diagnose the patient based on griping of the patient about dental disease so it can be obtained diseases possibility of the patient itself. This application is an expert system application that operates on android platform. Furthermore, in the measurement accuracy of the system test performed by 20 patients, there were 19 cases of corresponding and 1 cases that do not fit. So, from system testing performed by 20 patients resulted in a 95% accuracy rate.
Pengembangan E-Stats Berbasis Web (Studi Kasus Universitas Negeri Semarang) Arini, Florentina Yuni
Scientific Journal of Informatics Vol 1, No 1 (2014): May 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i1.3646

Abstract

Saat ini, pengembangan e-learning berbasis web menjadi tren dalam dunia pendidikan. Oleh karena itu, dalam penelitian ini penulis mengembangkan E-Stats berbasis web bidang ilmu statistik yang secara khusus dikembangkan di Universitas Negeri Semarang (UNNES). E-Stats menyediakan layanan akses artikel, jurnal dan materi tentang statistik. Artikel dan abstrak jurnal statistik dapat diakses oleh umum. Sedangkan jika menjadi member memiliki prevelege untuk mendownload jurnal dan materi yang sudah di-upload. Bagi member dapat mendaftar melalui form registrasi yang disediakan di halaman registrasi web. Desain E-Stats melalui tahap prototype (analisis, perancangan, desain sistem, ERD dan desain skema database), pemrograman, pengujian dan pemeliharaan. Melalui E-Stats, pembelajaran statistika dapat diakses online tanpa batas ruang dan waktu.
Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara Setyawan, Agus; Arini, Florentina Yuni; Akhlis, Isa
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8458

Abstract

Issue handling of inadvertence situations in the decision-making process of recruiting new employees at PT. Warta Media Nusantara that use criteria value of interviews, field test, a psychological test and medical check-up requires Multi Attribute Decision Making (MADM) as an auxiliary method of decision-making on the prospective eligible employee to be accepted in the company. There are various MADM methods, such as Simple Additive Weighting (SAW) method and Weighted Product (WP) method. Both of these methods are known as the most common method used in handling MADM issues, so in this study both methods are applied to the DSS and analyzed the differences in terms of obtained results and the execution time required for each method. The results of the study of the application of SAW and WP methods in the recruitment of new employees DSS there are some differences in the results of the candidates rank order and the differences in execution time of each method. The differences in rank order of these methods are due to the effects of alternative values, weighting criteria, and the calculation method. WP method is able to provide more rigorous result than SAW method, while the difference in execution time of SAW and WP methods explains that the execution time of SAW method relatively quick because SAW calculation method has a simpler process than the process of WP calculation methods 
Expert System Diagnosis Dental Disease Using Certainty Factor Method Setiabudi, Whisnu Ulinnuha; Sugiharti, Endang; Arini, Florentina Yuni
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8463

Abstract

Technological development is growing rapidly among with the increasing of human needs especially in mobile technology where the technology that often be used is android. The existence of this android facilitates the user in access of information. This android can be used for healthy needs, for example is detecting dental disease. One of the branches of computer science that can help society in detecting dental disease is expert system. In this research, making expert system to diagnosis dental disease by using certainty factor method. Dental disease diagnosis application can diagnose the patient based on griping of the patient about dental disease so it can be obtained diseases possibility of the patient itself. This application is an expert system application that operates on android platform. Furthermore, in the measurement accuracy of the system test performed by 20 patients, there were 19 cases of corresponding and 1 cases that do not fit. So, from system testing performed by 20 patients resulted in a 95% accuracy rate. 
Pengembangan E-Stats Berbasis Web (Studi Kasus Universitas Negeri Semarang) Arini, Florentina Yuni
Scientific Journal of Informatics Vol 1, No 1 (2014): May 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i1.3646

Abstract

Saat ini, pengembangan e-learning berbasis web menjadi tren dalam dunia pendidikan. Oleh karena itu, dalam penelitian ini penulis mengembangkan E-Stats berbasis web bidang ilmu statistik yang secara khusus dikembangkan di Universitas Negeri Semarang (UNNES). E-Stats menyediakan layanan akses artikel, jurnal dan materi tentang statistik. Artikel dan abstrak jurnal statistik dapat diakses oleh umum. Sedangkan jika menjadi member memiliki prevelege untuk mendownload jurnal dan materi yang sudah di-upload. Bagi member dapat mendaftar melalui form registrasi yang disediakan di halaman registrasi web. Desain E-Stats melalui tahap prototype (analisis, perancangan, desain sistem, ERD dan desain skema database), pemrograman, pengujian dan pemeliharaan. Melalui E-Stats, pembelajaran statistika dapat diakses online tanpa batas ruang dan waktu. 
Co-Authors Abas Setiawan Abdurrafi, Muhammad Agus Setyawan Ahmad Rozaq Heryansyah Aisar, Muhammad Zidan Aji, Yusuf Pandu Satrio Alamsyah - Aldevis, Mohammad Farrel Amin Suyitno Amrullah, Reza Zaidan Ananda Hisma Putra Kristianto Anggraeni, Dinda Ayu Anwar, Alfani Salsabilla Ardiansyah, Ikhsan Aryaputra, Daffa Pramata Asfino, Fadli Nugraha Astagina, Paramesti Athaya, Ikhsan Rakha Aufa Putra Wicaksono Awan Saputra Romadhoni Bagaskara, Josephin Nova Bhimawan, Farrel Fatih Brata, Prayoga Adi Dewanti, Rahima Ratna Duankhan, Poomin Endang Sugiharti, Endang Fadhlullah, Muhammad Azzam Fajariansyah, Ridwan Faqih, Muhammad Najmuddin Fatih Akbar Alim Putra Fatiha Misbah, Mutia Zahra Firdaus Zahid, Ahmad Galvin Habibi, Mahdi Haryolukito Pambudi, Fawwaz Hernawan, Yoga Heryansyah, Ahmad Rozaq Hidayaturrohmah, Nia Nur Irfan, Mohammad Syarif Isa Akhlis Isnaeni, Siti Julianto, Richy Kaltsum, Zahra Zakiyah khairunnisa, Nadhia Adzqiya Lyon Ambrosio Djuanda Maloringan, Ariel James Mardlootillah, Hanif Ilmi Milannisya, Anya Kawakibi Much Aziz Muslim Muhammad Lutfi Wibowo Mukti, Asteen Retno Muthia Nis Tiadah Nafi', Raihan Muhammad Naryapramono, Afrilza Daffa Niratha, I Gede Ardhy Oktavian, Aloysius Pambudi, Fawwaz Haryolukito Pastika, Puan Bening Pradana, Samudra Azriel Pratama, Eric Vibriano Julia Putra, Pramudya Kirana Mandala Putri, Farah Wahida Rizkia Putriaji Hendikawati Radhiti, Brigita Winona Elvaretta Rafi, Dhifansa Pradibtya Raharjo, Bagus Purbo Rahima Ratna Dewanti Rahman, Muhammad Rifqi Ramadhan, Farhan Husyen Ramadhan, Taufiqur Ramdhani, Khusnun Najwa Rifan, Slamet Rinandi, Tyto Riza Arifudin Rizky Aulia Adi Saputro Romadhoni, Ahmad Mustofa Hadi Romadhoni, Awan Saputra Ryo Pambudi Said, Danish Adli El Saputra, Gagah Suryanatha Athallah Saputro, Rizky Aulia Adi Sari, Yuliana Mustika Satria, Diva Sihombing, Nico Anselmus Supriyono Supriyono Syanjalih, Alul Hidja Toharo, Munajid Varindya Ditta Iswari Warianta, Dwi Tatang Whisnu Ulinnuha Setiabudi, Whisnu Ulinnuha Wibowo, Muhammad Lutfi Winata, Ardin Zaenal Abidin